SQL Server获得第一名&；构成聚合的最后一行

我有一个表，它存储了一分钟内价格变动的数据。每条记录包含最后一分钟的开放、高、低、关闭和音量

CREATE TABLE TimeBar (
  Instrument varchar(20),
  BarTimeStamp datetimeoffset(7),
  Open decimal(18, 5),
  High decimal(18, 5),
  Low decimal(18, 5),
  Close decimal(18, 5),
  Volume int
)

我试图做的是创建一个查询，在这里我可以将数据聚合到更高的时间框架中，例如，我希望能够显示每小时的开放、高、低和关闭

以下是我目前的问题，我已经设法得到了高点和低点，但你如何得到开盘和收盘

  SELECT MIN(BarTimeStamp) AS TimeStamp,
         MAX(High) AS High,
         MIN(Low) AS Low,
         SUM(Volume) AS Volume
    FROM TimeBar
   WHERE Instrument = 'XYZ'
GROUP BY DATEPART(YEAR, BarTimeStamp), DATEPART(MONTH, BarTimeStamp), DATEPART(DAY, BarTimeStamp), DATEPART(HOUR, BarTimeStamp)

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使用主查询作为子查询，为每个记录获取最小时间戳和最大时间戳，因此，为它们获取各自的开盘价和收盘价

SELECT x.*, TI.Open, TE.Close
FROM
(
SELECT   Instrument,
         MIN(BarTimeStamp) AS TimeStampIni,
         MAX(BarTimeStamp) AS TimeStampEnd,
         MAX(High) AS High,
         MIN(Low) AS Low,
         SUM(Volume) AS Volume
    FROM TimeBar
GROUP BY Instrument, DATEPART(YEAR, BarTimeStamp), DATEPART(MONTH, BarTimeStamp), DATEPART(DAY, BarTimeStamp), DATEPART(HOUR, BarTimeStamp)
) x
inner join TimeBar TI on ti.Instrument = x.Instrument AND TI.BarTimeStamp = x.TimeStampIni
inner join TimeBar Te on te.Instrument = x.Instrument AND Te.BarTimeStamp = x.TimeStampEnd

---

首先要做的是按时间范围分组：

SELECT MIN(BarTimeStamp) AS StartTimeStamp,
         MAX(BarTimeStamp) AS EndTimeStamp
    FROM #TimeBar
   WHERE Instrument = 'TEST'
GROUP BY DATEPART(YEAR, BarTimeStamp), DATEPART(MONTH, BarTimeStamp), DATEPART(DAY,       BarTimeStamp), DATEPART(HOUR, BarTimeStamp)

之后，问题是：

• 进行连接以获取范围
• 做一个连接来开始
• 正在进行连接以获取最小值
• 按原始范围分组以选择所有内容

我喜欢使用常用的表表达式来简化：

;WITH times as (
    SELECT MIN(BarTimeStamp) AS StartTimeStamp,
             MAX(BarTimeStamp) AS EndTimeStamp
        FROM #TimeBar
       WHERE Instrument = 'TEST'
    GROUP BY DATEPART(YEAR, BarTimeStamp), DATEPART(MONTH, BarTimeStamp), DATEPART(DAY, BarTimeStamp), DATEPART(HOUR, BarTimeStamp)
)
SELECT 
    StartTimeStamp as TimeStamp
    ,MIN([first].[Open]) as [Open]
    ,MAX(ranged.High) as High
    ,MAX(ranged.Low) as Low
    ,MIN([last].[Close]) as [Close]
    ,SUM(ranged.Volume) as Volume
FROM times 
INNER JOIN #TimeBar ranged ON times.StartTimeStamp <= ranged.BarTimeStamp AND times.EndTimeStamp >= ranged.BarTimeStamp
INNER JOIN #TimeBar [first] ON times.StartTimeStamp = [first].BarTimeStamp 
INNER JOIN #TimeBar [last] ON times.EndTimeStamp = [last].BarTimeStamp 
GROUP BY [times].StartTimeStamp

结果是：

TimeStamp                          Open                                    High                                    Low                                     Close                                   Volume
---------------------------------- --------------------------------------- --------------------------------------- --------------------------------------- --------------------------------------- -----------
2011-11-21 01:00:00.0000000 +00:00 5.00000                                 7.00000                                 4.00000                                 4.00000                                 200
2011-11-21 02:10:00.0000000 +00:00 15.00000                                16.00000                                17.00000                                20.00000                                300

注意，我使用了一个临时表，只需将#TimeBar更改为TimeBar即可将其更改为真实表

---

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另外，我不喜欢将

instrurmentvarchar

视为字段定义。您应该为此使用一个

谢谢，正是我想要的。

TimeStamp                          Open                                    High                                    Low                                     Close                                   Volume
---------------------------------- --------------------------------------- --------------------------------------- --------------------------------------- --------------------------------------- -----------
2011-11-21 01:00:00.0000000 +00:00 5.00000                                 7.00000                                 4.00000                                 4.00000                                 200
2011-11-21 02:10:00.0000000 +00:00 15.00000                                16.00000                                17.00000                                20.00000                                300